This will teach you the tricks of the profession from two practising Graph Data Scientists. Learn how to work with graph data, to building recommendation systems using simple and more complicated ...

DSTGCN is a graph-based neural network that predicts the risk of traffic accidents in the future. Please refer to our Neurocomputing 2021 paper “ Deep Spatio-Temporal Graph Convolutional Network for ...

Every framework had its own format for storing computation graphs and trained models. Late last year that started to change. The Open Neural Network Exchange format initiative was launched by Facebook ...

Using Quarto with Observable JavaScript is a great solution for R and Python users who want to create more interactive and visually engaging reports.

Learn how to build knowledge graphs using Python and large language models (LLMs) to create intricate interconnected knowledge maps ...